Publications by authors named "Mark A Horowitz"

Objectives: To replicate Stone et al.'s (2022) [1] finding that the distribution of response in clinical antidepressant trials is trimodal with large, medium-effect, and small subgroups.

Methods: To apply finite mixture modeling to pre-post Hamilton Depression Rating Scale (HDRS) differences (n = 2184) of STAR*D study's level 1, a single-arm, open-label study.

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Background: Clinicians often recommend dosing antidepressants every other day when tapering to reduce 'average' daily doses. This is used in place of liquid formulations or other methods for obtaining smaller doses. There is limited evidence to support this approach.

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Background: Previous studies of antidepressant withdrawal have been limited by short duration of drug exposure or self-selected samples. Our study aimed to estimate withdrawal effects in routine clinical practice.

Methods: Participants from NHS primary care psychological treatment services who had ever tried to stop an antidepressant were surveyed.

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Objectives: To assess the beneficial and harmful effects of duloxetine versus 'active placebo', placebo or no intervention for adults with major depressive disorder.

Design: Systematic review with meta-analysis and trial sequential analysis of randomised trials.

Data Sources: Cochrane Central Register of Controlled Trials, MEDLINE, Embase, PsycINFO and other relevant databases up until January 2023.

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Background: Mirtazapine is used to treat depression worldwide, and the effects of mirtazapine on depression rating scales are well-known. Our primary objective was to assess the risks of adverse events with mirtazapine for major depressive disorder.

Methods: We searched relevant sources from inception to 7 March 2024 for randomised clinical trials comparing mirtazapine versus placebo in adults with major depressive disorder.

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Article Synopsis
  • Antidepressants are widely prescribed but can lead to withdrawal symptoms upon discontinuation, with an overall incidence of 42.9% found in studies analyzed.
  • The studies indicated that the incidence of withdrawal symptoms varies by type of antidepressant, with tricyclics showing the highest rates and a general trend of increased withdrawal symptoms with longer treatment durations.
  • Strategies like tapering off medication can help reduce withdrawal symptoms, but several risk factors, including age and gender, influence the likelihood of experiencing these symptoms.
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Background: Reducing the dose of psychosis drugs in a gradual hyperbolic manner may minimise withdrawal effects and risk of relapse. There is presently limited guidance on tapering decanoate-based long-acting injectable dopamine antagonists (LIDAs).

Objectives: We aimed to apply hyperbolic principles of tapering to the decanoate-based LIDAs flupentixol, zuclopenthixol and haloperidol to develop withdrawal regimens.

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Question: Tricyclic antidepressants are used to treat depression worldwide, but the adverse effects have not been systematically assessed. Our objective was to assess the beneficial and harmful effects of all tricyclic antidepressants for adults with major depressive disorder.

Study Selection And Analysis: We conducted a systematic review with meta-analysis and trial sequential analysis.

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Purpose Of Review: There has been an increasing focus on deprescribing in psychiatry recently, particularly of antipsychotic medication, with recognition that not all patients with psychotic disorders require lifelong medication. We summarize some empirical and theoretical papers, and examine case studies to provide instruction on this topic.

Recent Findings: Recent studies have found that slower tapering (over months or longer) of antipsychotics is associated with a lower relapse rate than quicker tapering (weeks).

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Gradual, hyperbolic tapering has been proposed as a method to reduce the risk of withdrawal effects and potential relapse of an underlying condition by minimising disruption of existing equilibria. We applied hyperbolic tapering principles to long-acting aripiprazole to generate regimens for withdrawal in clinical practice. We derived thresholds for taper rates using existing studies and consensus.

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Genome-wide association studies (GWASs) have advanced our understanding of the genetics of osteoporosis; however, the challenge has been converting associations to causal genes. Studies have utilized transcriptomics data to link disease-associated variants to genes, but few population transcriptomics data sets have been generated on bone at the single-cell level. To address this challenge, we profiled the transcriptomes of bone marrow-derived stromal cells (BMSCs) cultured under osteogenic conditions from five diversity outbred (DO) mice using single-cell RNA-seq (scRNA-seq).

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Antidepressants in general, and fluoxetine in particular, increase adult hippocampal neurogenesis (AHN) in mice. Here we asked how the antidepressant fluoxetine affects behavior and AHN in a corticosterone model of depression. In three groups of adult male C57BL/6j mice, we administered either vehicle (VEH), corticosterone (CORT) treatment to induce a depression-like state, or corticosterone plus a standard dose of fluoxetine (CORT+FLX).

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Article Synopsis
  • Major depressive disorder is a serious condition that affects many people, and doctors often prescribe medicines like venlafaxine and mirtazapine to help treat it.
  • Previous studies showed these medicines might help reduce depression symptoms, but the effects are not always very noticeable for most people.
  • This new research will look at the side effects of these medicines compared to placebos (fake treatments) and help understand if they’re really worth using for patients.
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Background: Public Health England has recommended that services be put in place to support people who choose to withdraw from antidepressants because of a current gap. This study aims to explore the views of members of online withdrawal peer-support groups about existing healthcare and what additional support is needed.

Methods: The administrators of 15 online support groups for people stopping antidepressants were asked to advertise an online survey to their members.

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Adaptation of the brain to the presence of a drug predicts withdrawal on cessation. The outcome of adaptation is often referred to as 'physical dependence' in pharmacology, as distinct from addiction, although these terms have unfortunately become conflated in some diagnostic guides. Physical dependence to antidepressants may occur in some patients, consistent with the fact that some patients experience withdrawal effects from these medications.

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